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The aim of this work is to develop an optimization methodology which finds optimal control strategies requiring a minimum of user input.
In this work, we present an optimization methodology used in order to optimize laminated composite shell structures with variable stiffness.
Results aim to demonstrate that an optimized implementation of the algorithm, resulting from an optimization methodology, can help to design embedded systems implementing low-cost multiprocessor architecture operating under real-time constraints.
Also, an optimization methodology is developed for determining the optimal capacity requirements of these networks and extensive experimental results are included.
This paper presents an optimization methodology for prediction of damage in rotating blades.
This paper presents an optimization methodology for system synthesis applied to air-compressors.
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A topology optimization methodology for optimizing cooling channels using an approximate but low-cost flow and heat transfer model is presented.
This paper presents a compliance optimization methodology considering an initial stress field.
In this paper a surrogate optimization methodology using a three-dimensional viscous-inviscid interaction code for the aerodynamic design of wind-turbine rotors is presented.
Therefore, we devise an evolutionary optimization methodology for this same problem.
Simulated annealing (SA) is an essential optimization methodology within these algorithms as compared to greedy optimization techniques.
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